新しいホログラフィックビジョンベースの方法を使用して,フルフィールドのダイナミックパラメータとストレスの識別
Shuai Shao1,2, Gang Liu2, Zhongru Yu3
1School of Intelligent Information Engineering, Chongqing Aerospace Polytechnic, Chongqing 400021, China.
Sensors (Basel, Switzerland)
|August 28, 2025
まとめ
新しいホログラフィックビジョンベースの方法は,高級ダイナミックパラメータと停電ケーブルの緊張を正確に特定します. この非接触アプローチは視覚化を促進し,構造的なモニタリングに低コストで便利なソリューションを提供します.
科学分野:
- 構造工学
- 光学的な測定技術
- 振動分析
背景:
- 既存のビジョンベースの方法は,低振幅の振動のために細いケーブルで苦労し,より高いレベルのダイナミックパラメータの正確な識別を制限します.
- ケーブルで支えられた構造物の正確なモニタリングは,安全とメンテナンスのために不可欠です.
研究 の 目的:
- 高度な全場動的パラメータの正確な識別と停電ケーブルの張力推定のための新しいホログラフィックビジョンベースの方法を提案する.
- ケーブルで支えられた構造物のモニタリングのための非接触的,視覚的,測定可能な戦略を開発する.
主な方法:
- ホログラムの特徴点から動的移位情報を捕捉するために,全場光学フロートラッキングアルゴリズムが開発されました.
- 自然な周波数とダッピング比率を抽出するために,周波数領域分析を使用した.
- 弱動信号を強化するために,Eulerianベースの増幅アルゴリズム (ホログラム機能ポイントビデオ増幅 - HFPVM) が使用されました.
主要な成果:
- ホログラフィックビジョンベースの方法は,5%未満の誤差で最初の5つの自然周波数を正確に特定しました.
- ケーブル張りの推定値は最大6.86%でした.
- 最初の3つの正常化されたホログラムモード形と動的移動ベクトルは,最大99.51%のモダル保証基準 (MAC) 値で特定されました.
結論:
- 提案された非接触ホログラフィックビジョンベースの方法は,停電ケーブルの張力推定のための便利で低コストのソリューションを提供します.
- この方法は,ケーブルで支えられた構造物の定期的または長期的モニタリングのための包括的,視覚的,定量化可能な戦略を提供し,重要な実用的な可能性を示しています.
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